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Computer-assisted system on mandibular canal detection.

Da-Chuan Cheng1, Li-Wei Chen1, Yen-Wen Shen1

  • 1.

Biomedizinische Technik. Biomedical Engineering
|November 19, 2016
PubMed
Summary
This summary is machine-generated.

A new software semi-automatically detects the mandibular canal (MC) in panoramic radiography (PR), crucial for dental implant surgery. This tool accurately measures the minimal distance (MD) for enhanced patient safety and clinician training.

Keywords:
alveolar crestdental implantdual dynamic programmingmandibular canalmental foramen

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Area of Science:

  • Dentistry
  • Medical Imaging
  • Computer-Aided Diagnosis

Background:

  • Panoramic radiography (PR) is standard for dental assessments.
  • Accurate measurement of the minimal distance (MD) between the alveolar crest and the mandibular canal (MC) is vital for oral surgery.
  • Identifying the MC in PR images can be challenging, impacting surgical planning.

Purpose of the Study:

  • To develop a software tool for precise and rapid measurement of the MD.
  • To create a system for training dentists and demonstrating procedures to patients.
  • To automate the calculation of the MD for dental implant procedures.

Main Methods:

  • A computer-aided software system was developed.
  • The software semi-automatically detects the mandibular canal (MC) and mental foramen (MF) in PR images.
  • Minimal human intervention was required for detection and measurement.

Main Results:

  • The software achieved an average relative error (RE) of 1.83%.
  • The standard deviation for the measurements was 2.31%.
  • The system demonstrated high accuracy in detecting MC borders.

Conclusions:

  • The proposed algorithm accurately detects the superior and inferior borders of the MC.
  • This system can serve as a valuable training tool for clinicians.
  • The software has the potential to replace manual MD measurements, reducing human intervention and improving efficiency.